用于回归测试数据验算的筛选方法

Recomputing test case coverage information for assist regression testing

通过利用覆盖数据技术和回归测试集选择技术,提出一种用于回归测试数据验算的筛选方法,该方法通过深度优先遍历程序的相关记录来筛选测试用例,能有效地提高回归测试的准确性,减少回归测试的测试时间和省略无需测试的测试用例,以达到降低回归测试的成本的目的。对顺序、循环和分支3类程序设计了相关的实验,比较了该算法在这3类程序上的使用效果。

An algorithm is presented combined the widely used regression test selection techniques and the update coverage data. This algorithm uses the record of traversal in a deep-first order effectively improve the accurate of regression testing and reduce the expense of regression testing by reducing the time and omitting the no need to rerun test case. Some experimentations in three kind of different programs including sequence program, cyclic program and branch program, is implemented to compare the effective of the algorithm.